Cargando…
Predicting Technology Use Among Older Adults During the COVID-19 Pandemic With Community Participation
Technology use is important for older adults, particularly in the pandemic. The pattern of technology use among older adults varies significantly. We hypothesized that limitations of activities of daily living (ADL), wellbeing, and community participation of community-dwelling older adults before th...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8680727/ http://dx.doi.org/10.1093/geroni/igab046.2164 |
_version_ | 1784616813992083456 |
---|---|
author | Drazich, Brittany Samuel, Laura Cudjoe, Thomas Hladek, Melissa Szanton, Sarah Li, Qiwei |
author_facet | Drazich, Brittany Samuel, Laura Cudjoe, Thomas Hladek, Melissa Szanton, Sarah Li, Qiwei |
author_sort | Drazich, Brittany |
collection | PubMed |
description | Technology use is important for older adults, particularly in the pandemic. The pattern of technology use among older adults varies significantly. We hypothesized that limitations of activities of daily living (ADL), wellbeing, and community participation of community-dwelling older adults before the pandemic would predict technology use during the pandemic. National Health and Aging Trends Study data on 2924 older adults were utilized. Adjusted for age, gender, race, education, marital status, and chronic conditions, previous well-being predicted more online social activities (OR=1.03, p =.03); previous ADL limitations predicted more telehealth use (OR=1.11, p=.014); and previous community participation predicted: learning new technologies (OR=1.46, p <.001), more telecommunication (OR=1.12, p=.007), more online social activity (OR=1.58, p<.001), and more telehealth use (OR=1.09, p= .04). The results of this study imply that high community participation promotes older adults’ transition to technology use. Older adults with low participation may need extra attention for such a transition. |
format | Online Article Text |
id | pubmed-8680727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-86807272021-12-17 Predicting Technology Use Among Older Adults During the COVID-19 Pandemic With Community Participation Drazich, Brittany Samuel, Laura Cudjoe, Thomas Hladek, Melissa Szanton, Sarah Li, Qiwei Innov Aging Abstracts Technology use is important for older adults, particularly in the pandemic. The pattern of technology use among older adults varies significantly. We hypothesized that limitations of activities of daily living (ADL), wellbeing, and community participation of community-dwelling older adults before the pandemic would predict technology use during the pandemic. National Health and Aging Trends Study data on 2924 older adults were utilized. Adjusted for age, gender, race, education, marital status, and chronic conditions, previous well-being predicted more online social activities (OR=1.03, p =.03); previous ADL limitations predicted more telehealth use (OR=1.11, p=.014); and previous community participation predicted: learning new technologies (OR=1.46, p <.001), more telecommunication (OR=1.12, p=.007), more online social activity (OR=1.58, p<.001), and more telehealth use (OR=1.09, p= .04). The results of this study imply that high community participation promotes older adults’ transition to technology use. Older adults with low participation may need extra attention for such a transition. Oxford University Press 2021-12-17 /pmc/articles/PMC8680727/ http://dx.doi.org/10.1093/geroni/igab046.2164 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstracts Drazich, Brittany Samuel, Laura Cudjoe, Thomas Hladek, Melissa Szanton, Sarah Li, Qiwei Predicting Technology Use Among Older Adults During the COVID-19 Pandemic With Community Participation |
title | Predicting Technology Use Among Older Adults During the COVID-19 Pandemic With Community Participation |
title_full | Predicting Technology Use Among Older Adults During the COVID-19 Pandemic With Community Participation |
title_fullStr | Predicting Technology Use Among Older Adults During the COVID-19 Pandemic With Community Participation |
title_full_unstemmed | Predicting Technology Use Among Older Adults During the COVID-19 Pandemic With Community Participation |
title_short | Predicting Technology Use Among Older Adults During the COVID-19 Pandemic With Community Participation |
title_sort | predicting technology use among older adults during the covid-19 pandemic with community participation |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8680727/ http://dx.doi.org/10.1093/geroni/igab046.2164 |
work_keys_str_mv | AT drazichbrittany predictingtechnologyuseamongolderadultsduringthecovid19pandemicwithcommunityparticipation AT samuellaura predictingtechnologyuseamongolderadultsduringthecovid19pandemicwithcommunityparticipation AT cudjoethomas predictingtechnologyuseamongolderadultsduringthecovid19pandemicwithcommunityparticipation AT hladekmelissa predictingtechnologyuseamongolderadultsduringthecovid19pandemicwithcommunityparticipation AT szantonsarah predictingtechnologyuseamongolderadultsduringthecovid19pandemicwithcommunityparticipation AT liqiwei predictingtechnologyuseamongolderadultsduringthecovid19pandemicwithcommunityparticipation |